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Related Concept Videos

Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
46
Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

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Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
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Multicompartment Models: Overview01:14

Multicompartment Models: Overview

104
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
104
Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

597
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
597
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

559
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
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Related Experiment Video

Updated: Jun 8, 2025

A Novel Approach for the Administration of Medications and Fluids in Emergency Scenarios and Settings
06:59

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A Fuzzy Bi-objective Mathematical Model for Perishable Medical Goods Supply Chain Network Considering Crisis

Fereshteh Shahrabadi1, Hamidreza Kia1, Ali Heidari2

  • 1School of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.

Health Services Insights
|November 4, 2024
PubMed
Summary

This study models perishable medical supply chains during crises, optimizing delivery times and costs. The Non-dominated Sorting Genetic Algorithm (NSGA-II) proved superior for efficient, high-quality solutions in complex scenarios.

Keywords:
Supply chain networkcrisismeta-heuristic algorithmperishable medical goodsreliefuncertainty

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Area of Science:

  • Operations Research
  • Supply Chain Management
  • Healthcare Logistics

Background:

  • Timely medical supply delivery is critical during crises.
  • Existing models often struggle with the uncertainty inherent in crisis logistics.
  • Perishable medical goods require specialized supply chain considerations.

Purpose of the Study:

  • To develop a mathematical model for a three-level perishable medical supply chain network.
  • To optimize for minimum total supply chain costs and item presence time.
  • To address uncertainties in customer demand and warehouse processing times.

Main Methods:

  • Utilized exponential distribution for demand and warehouse time uncertainty.
  • Modeled perishable item lifecycles using Weibull distribution.
  • Employed LP-Metric for small problems and meta-heuristics (MOPSO, NSGA-II) for large, NP-Hard problems.

Main Results:

  • Meta-heuristic algorithms effectively find near-optimal solutions for large-scale problems.
  • NSGA-II demonstrated superior performance over MOPSO in solution quality.
  • The model's applicability was validated through a real-world case study.

Conclusions:

  • The developed model provides a robust framework for managing perishable medical supplies in crisis situations.
  • Decision-makers can leverage this model for efficient and timely distribution of emergency medical items.
  • NSGA-II is a recommended algorithm for optimizing complex medical supply chains under uncertainty.